메뉴 건너뛰기




Volumn 42, Issue 9, 2014, Pages 1969-1976

Sepsis severity score: An internationally derived scoring system from the surviving sepsis campaign database

Author keywords

Acute Physiologic and Chronic Health Evaluation; case mix adjustment; critical care; database; early treatment; injury severity score; intensive care; international; logistic model; mortality; outcome assessment; quality; risk; risk adjustment; risk assessment; sepsis; septic shock; severe sepsis; severity of illness; survival analysis

Indexed keywords

ARTICLE; CALIBRATION; CLINICAL EVALUATION; COHORT ANALYSIS; COMPARATIVE STUDY; DATA BASE; DISEASE SEVERITY; HUMAN; MAJOR CLINICAL STUDY; MORTALITY; MULTICENTER STUDY; OBSERVATIONAL STUDY; PREDICTION; PRIORITY JOURNAL; PROSPECTIVE STUDY; SCORING SYSTEM; SEPSIS; SEPSIS SEVERITY SCORE; SEPTIC SHOCK;

EID: 84906789771     PISSN: 00903493     EISSN: 15300293     Source Type: Journal    
DOI: 10.1097/CCM.0000000000000416     Document Type: Article
Times cited : (58)

References (23)
  • 1
    • 0033600337 scopus 로고    scopus 로고
    • ABC of intensive care: Outcome data and scoring systems
    • Gunning K, Rowan K: ABC of intensive care: Outcome data and scoring systems. BMJ 1999; 319:241-244
    • (1999) BMJ , vol.319 , pp. 241-244
    • Gunning, K.1    Rowan, K.2
  • 2
    • 0029912547 scopus 로고    scopus 로고
    • Why we need observational studies to evaluate the effectiveness of health care
    • Black N: Why we need observational studies to evaluate the effectiveness of health care. BMJ 1996; 312:1215-1218
    • (1996) BMJ , vol.312 , pp. 1215-1218
    • Black, N.1
  • 3
    • 26444464890 scopus 로고    scopus 로고
    • SAPS 3 Investigators: SAPS 3-From evaluation of the patient to evaluation of the intensive care unit. Part 1: Objectives methods and cohort description
    • Metnitz PG, Moreno RP, Almeida E, et al; SAPS 3 Investigators: SAPS 3-From evaluation of the patient to evaluation of the intensive care unit. Part 1: Objectives, methods and cohort description. Intensive Care Med 2005; 31:1336-1344
    • (2005) Intensive Care Med , vol.31 , pp. 1336-1344
    • Metnitz, P.G.1    Moreno, R.P.2    Almeida, E.3
  • 4
    • 26444506063 scopus 로고    scopus 로고
    • SAPS 3 Investigators: SAPS 3-From evaluation of the patient to evaluation of the intensive care unit. Part 2: Development of a prognostic model for hospital mortality at ICU admission
    • Moreno RP, Metnitz PG, Almeida E, et al; SAPS 3 Investigators: SAPS 3-From evaluation of the patient to evaluation of the intensive care unit. Part 2: Development of a prognostic model for hospital mortality at ICU admission. Intensive Care Med 2005; 31:1345-1355
    • (2005) Intensive Care Med , vol.31 , pp. 1345-1355
    • Moreno, R.P.1    Metnitz, P.G.2    Almeida, E.3
  • 5
    • 35848968438 scopus 로고    scopus 로고
    • International comparisons in critical care: A necessity and challenge
    • Wunsch H, Rowan KM, Angus DC: International comparisons in critical care: A necessity and challenge. Curr Opin Crit Care 2007; 13:725-731
    • (2007) Curr Opin Crit Care , vol.13 , pp. 725-731
    • Wunsch, H.1    Rowan, K.M.2    Angus, D.C.3
  • 6
    • 74949116220 scopus 로고    scopus 로고
    • Surviving Sepsis Campaign: The Surviving Sepsis Campaign: Results of an international guideline-based performance improvement program targeting severe sepsis
    • Levy MM, Dellinger RP, Townsend SR, et al; Surviving Sepsis Campaign: The Surviving Sepsis Campaign: Results of an international guideline-based performance improvement program targeting severe sepsis. Crit Care Med 2010; 38:367-374
    • (2010) Crit Care Med , vol.38 , pp. 367-374
    • Levy, M.M.1    Dellinger, R.P.2    Townsend, S.R.3
  • 7
    • 33646592518 scopus 로고    scopus 로고
    • Acute Physiology and Chronic Health Evaluation (APACHE) IV: Hospital mortality assessment for today's critically ill patients
    • Zimmerman JE, Kramer AA, McNair DS, et al: Acute Physiology and Chronic Health Evaluation (APACHE) IV: Hospital mortality assessment for today's critically ill patients. Crit Care Med 2006; 34:1297-1310
    • (2006) Crit Care Med , vol.34 , pp. 1297-1310
    • Zimmerman, J.E.1    Kramer, A.A.2    McNair, D.S.3
  • 8
    • 33748771981 scopus 로고    scopus 로고
    • Intensive care unit length of stay: Benchmarking based on Acute Physiology and Chronic Health Evaluation (APACHE) IV
    • Zimmerman JE, Kramer AA, McNair DS, et al: Intensive care unit length of stay: Benchmarking based on Acute Physiology and Chronic Health Evaluation (APACHE) IV. Crit Care Med 2006; 34:2517-2529
    • (2006) Crit Care Med , vol.34 , pp. 2517-2529
    • Zimmerman, J.E.1    Kramer, A.A.2    McNair, D.S.3
  • 9
    • 0000117315 scopus 로고    scopus 로고
    • Assessing the fit of the model
    • Cressie NAC, Fisher NI, Johnstone IM, et al (Eds) New York, NY, Q Wiley-Interscience Publication
    • Hosmer DW, Lemeshow S: Assessing the fit of the model. In: Applied Logistic Regression. Second Edition. Cressie NAC, Fisher NI, Johnstone IM, et al (Eds). New York, NY, Q Wiley-Interscience Publication, 2000, pp 143-202
    • (2000) Applied Logistic Regression. Second Edition , pp. 143-202
    • Hosmer, D.W.1    Lemeshow, S.2
  • 10
    • 33947137881 scopus 로고    scopus 로고
    • Assessing contemporary intensive care unit outcome: An updated Mortality Probability Admission Model (MPM0-III)
    • Higgins TL, Teres D, Copes WS, et al: Assessing contemporary intensive care unit outcome: An updated Mortality Probability Admission Model (MPM0-III). Crit Care Med 2007; 35:827-835
    • (2007) Crit Care Med , vol.35 , pp. 827-835
    • Higgins, T.L.1    Teres, D.2    Copes, W.S.3
  • 11
    • 84855441940 scopus 로고    scopus 로고
    • Severity scoring in the critically ill: Part 1-interpretation and accuracy of outcome prediction scoring systems
    • Breslow MJ, Badawi O: Severity scoring in the critically ill: Part 1-interpretation and accuracy of outcome prediction scoring systems. Chest 2012; 141:245-252
    • (2012) Chest , vol.141 , pp. 245-252
    • Breslow, M.J.1    Badawi, O.2
  • 12
    • 84867919848 scopus 로고    scopus 로고
    • Does Acute Physiology and Chronic Health Evaluation II provide a valid metric to directly compare disease severity in trauma versus surgical intensive care unit patients?
    • Becher RD, Chang MC, Hoth JJ, et al: Does Acute Physiology and Chronic Health Evaluation II provide a valid metric to directly compare disease severity in trauma versus surgical intensive care unit patients? Am Surg 2012; 78:1261-1269
    • (2012) Am Surg , vol.78 , pp. 1261-1269
    • Becher, R.D.1    Chang, M.C.2    Hoth, J.J.3
  • 13
    • 0032791088 scopus 로고    scopus 로고
    • Prediction of outcome in intensive care unit trauma patients: A multicenter study of Acute Physiology and Chronic Health Evaluation (APACHE), Trauma and Injury Severity Score (TRISS), and a 24-hour intensive care unit (ICU) point system
    • Vassar MJ, Lewis FR Jr, Chambers JA, et al: Prediction of outcome in intensive care unit trauma patients: A multicenter study of Acute Physiology and Chronic Health Evaluation (APACHE), Trauma and Injury Severity Score (TRISS), and a 24-hour intensive care unit (ICU) point system. J Trauma 1999; 47:324-329
    • (1999) J Trauma , vol.47 , pp. 324-329
    • Vassar, M.J.1    Lewis Jr., F.R.2    Chambers, J.A.3
  • 14
    • 0031013313 scopus 로고    scopus 로고
    • Comparison of the APACHE III, APACHE II and Glasgow Coma Scale in acute head injury for prediction of mortality and functional outcome
    • Cho DY, Wang YC: Comparison of the APACHE III, APACHE II and Glasgow Coma Scale in acute head injury for prediction of mortality and functional outcome. Intensive Care Med 1997; 23:77-84
    • (1997) Intensive Care Med , vol.23 , pp. 77-84
    • Cho, D.Y.1    Wang, Y.C.2
  • 15
    • 84991220880 scopus 로고    scopus 로고
    • Assessment of six mortality prediction models in patients admitted with severe sepsis and septic shock to the intensive care unit: A prospective cohort study
    • Arabi Y, Al Shirawi N, Memish Z, et al: Assessment of six mortality prediction models in patients admitted with severe sepsis and septic shock to the intensive care unit: A prospective cohort study. Crit Care 2003; 7:R116-R122
    • (2003) Crit Care , vol.7
    • Arabi, Y.1    Al Shirawi, N.2    Memish, Z.3
  • 16
    • 0020063002 scopus 로고
    • A review of goodness of fit statistics for use in the development of logistic regression models
    • Lemeshow S, Hosmer DW Jr: A review of goodness of fit statistics for use in the development of logistic regression models. Am J Epidemiol 1982; 115:92-106
    • (1982) Am J Epidemiol , vol.115 , pp. 92-106
    • Lemeshow, S.1    Hosmer Jr., D.W.2
  • 17
    • 84867129762 scopus 로고    scopus 로고
    • Comparison of APACHE III and IV, SAPS 3 and MPM0III, and influence of resuscitation status on model performance
    • Keegan MT, Gajic O, Afessa B: Comparison of APACHE III and IV, SAPS 3 and MPM0III, and influence of resuscitation status on model performance. Chest 2012; 142:851-858
    • (2012) Chest , vol.142 , pp. 851-858
    • Keegan, M.T.1    Gajic, O.2    Afessa, B.3
  • 18
    • 34548252376 scopus 로고    scopus 로고
    • Combining Sequential Organ Failure Assessment (SOFA) score with acute physiology and chronic health evaluation (APACHE) II score to predict hospital mortality of critically ill patients
    • Ho KM: Combining Sequential Organ Failure Assessment (SOFA) score with acute physiology and chronic health evaluation (APACHE) II score to predict hospital mortality of critically ill patients. Anaesth Intensive Care 2007; 35:515-521
    • (2007) Anaesth Intensive Care , vol.35 , pp. 515-521
    • Ho, K.M.1
  • 19
    • 67650835161 scopus 로고    scopus 로고
    • Mortality probability model III and Simplified Acute Physiology Score II: Assessing their value in predicting length of stay and comparison to APACHE IV
    • Vasilevskis EE, Kuzniewicz MW, Cason BA, et al: Mortality probability model III and Simplified Acute Physiology Score II: Assessing their value in predicting length of stay and comparison to APACHE IV. Chest 2009; 136:89-101
    • (2009) Chest , vol.136 , pp. 89-101
    • Vasilevskis, E.E.1    Kuzniewicz, M.W.2    Cason, B.A.3
  • 20
    • 78651253781 scopus 로고    scopus 로고
    • Severity of illness scoring systems in the intensive care unit
    • Keegan MT, Gajic O, Afessa B: Severity of illness scoring systems in the intensive care unit. Crit Care Med 2011; 39:163-169
    • (2011) Crit Care Med , vol.39 , pp. 163-169
    • Keegan, M.T.1    Gajic, O.2    Afessa, B.3
  • 21
    • 84869866090 scopus 로고    scopus 로고
    • Outcomes of the Surviving Sepsis Campaign in intensive care units in the USA and Europe: A prospective cohort study
    • Levy MM, Artigas A, Phillips GS, et al: Outcomes of the Surviving Sepsis Campaign in intensive care units in the USA and Europe: A prospective cohort study. Lancet Infect Dis 2012; 12:919-924
    • (2012) Lancet Infect Dis , vol.12 , pp. 919-924
    • Levy, M.M.1    Artigas, A.2    Phillips, G.S.3
  • 22
    • 35048815995 scopus 로고    scopus 로고
    • Combining multiple comorbidities with Acute Physiology Score to predict hospital mortality of critically ill patients: A linked data cohort study
    • Ho KM, Finn J, Knuiman M, et al: Combining multiple comorbidities with Acute Physiology Score to predict hospital mortality of critically ill patients: A linked data cohort study. Anaesthesia 2007; 62:1095-1100
    • (2007) Anaesthesia , vol.62 , pp. 1095-1100
    • Ho, K.M.1    Finn, J.2    Knuiman, M.3
  • 23
    • 0345688665 scopus 로고    scopus 로고
    • Outcomerea Study Group: Decisions to forgo life-sustaining therapy in ICU patients independently predict hospital death
    • Azoulay E, Pochard F, Garrouste-Orgeas M, et al; Outcomerea Study Group: Decisions to forgo life-sustaining therapy in ICU patients independently predict hospital death. Intensive Care Med 2003; 29:1895-1901
    • (2003) Intensive Care Med , vol.29 , pp. 1895-1901
    • Azoulay, E.1    Pochard, F.2    Garrouste-Orgeas, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.